1.

Record Nr.

UNISA996465590403316

Titolo

Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-22808-8

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11555

Disciplina

006.3

Soggetti

Artificial intelligence

Computer vision

Numerical analysis

Data mining

Computer science—Mathematics

Algorithms

Artificial Intelligence

Computer Vision

Numerical Analysis

Data Mining and Knowledge Discovery

Mathematical Applications in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.

Sommario/riassunto

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks,



ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware. .